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新冠大流行的最糟糕时期是否尚未到来?金融数学的应用作为候选预测工具。

Is the worst of the COVID-19 global pandemic yet to come? Application of financial mathematics as candidate predictive tools.

机构信息

Mathematics in Medicine Program, Houston Methodist Research Institute, Houston, TX, USA.

Department of Gastrointestinal Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.

出版信息

Transl Psychiatry. 2021 May 20;11(1):299. doi: 10.1038/s41398-021-01429-0.

Abstract

The Elliott Wave principle is a time-honored, oft-used method for predicting variations in the financial markets. It is based on the notion that human emotions drive financial decisions. In the fight against the COVID-19 global pandemic, human emotions are similarly decisive, for instance in that they determine one's willingness to be vaccinated, and/or to follow preventive measures including the personal wearing of masks, the application of social distancing protocols, and frequent handwashing. On this basis, we postulated that the Elliott Wave Principle may similarly be used to predict the future evolution of the COVID-19 pandemic. We demonstrated that this method reproduces the data pattern for various countries and the world (daily new cases). Potential scenarios were then extrapolated, from the best-case corresponding to a rapid, full vaccination of the population, to the utterly disastrous case of slow vaccination, and poor adherence to preventive protocols.

摘要

艾略特波浪理论是一种历史悠久、常用的预测金融市场变化的方法。它基于人类情绪驱动金融决策的观点。在抗击 COVID-19 全球大流行的过程中,人类情绪同样具有决定性,例如,它决定了人们接种疫苗的意愿,以及/或是否愿意采取预防措施,包括个人戴口罩、遵守社交距离协议和经常洗手。在此基础上,我们假设艾略特波浪原理也可以用来预测 COVID-19 大流行的未来演变。我们证明,这种方法复制了各国和全球(每日新增病例)的数据模式。然后推断出各种可能的情况,从最好的情况,即快速、全面接种疫苗,到最坏的情况,即接种缓慢,以及对预防协议的遵守不力。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/73e0/8137917/83855e423524/41398_2021_1429_Fig1_HTML.jpg

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